LER-YOLO reports 89.7% AP50 on the MBU benchmark for misaligned RGB-IR UAV detection by routing among RGB-dominant, IR-dominant, and fusion experts using a spatial reliability map.
ATR-UMMIM: A Benchmark Dataset for UAV-Based Multimodal Image Registration under Complex Imaging Conditions.arXiv2025
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LER-YOLO: Reliability-Aware Expert Routing for Misaligned RGB-Infrared UAV Detection
LER-YOLO reports 89.7% AP50 on the MBU benchmark for misaligned RGB-IR UAV detection by routing among RGB-dominant, IR-dominant, and fusion experts using a spatial reliability map.